A Talk with ChatGPT: The Role of Artificial Intelligence in Shaping the Future of Cardiology and Electrophysiology.

Journal: Journal of personalized medicine
Published Date:

Abstract

: Artificial intelligence (AI) is poised to significantly impact the future of cardiology and electrophysiology, offering new tools to interpret complex datasets, improve diagnosis, optimize clinical workflows, and personalize therapy. ChatGPT-4o, a leading AI-based language model, exemplifies the transformative potential of AI in clinical research, medical education, and patient care. : In this paper, we present an exploratory dialogue with ChatGPT to assess the role of AI in shaping the future of cardiology, with a particular focus on arrhythmia management and cardiac electrophysiology. Topics discussed include AI applications in ECG interpretation, arrhythmia detection, procedural guidance during ablation, and risk stratification for sudden cardiac death. We also examine the risks associated with AI use, including overreliance, interpretability challenges, data bias, and generalizability. : The integration of AI into cardiovascular care offers the potential to enhance diagnostic accuracy, tailor interventions, and support decision-making. However, the adoption of AI must be carefully balanced with clinical expertise and ethical considerations. By fostering collaboration between clinicians and AI developers, it is possible to guide the development of reliable, transparent, and effective tools that will shape the future of personalized cardiology and electrophysiology.

Authors

  • Angelica Cersosimo
    ASST Spedali Civili di Brescia, Division of Cardiology and Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, 25121 Brescia, Italy.
  • Elio Zito
    Texas Cardiac Arrhythmia Institute, St David's Medical Center, Austin, TX 78705, USA.
  • Nicola Pierucci
    Department of Cardiovascular, Respiratory, Nephrological, Anesthesiological and Geriatric Sciences, "Sapienza" University of Rome, 00185 Rome, Italy.
  • Andrea Matteucci
    Department of Experimental Medicine, Tor Vergata University, 00133 Rome, Italy.
  • Vincenzo Mirco La Fazia
    Texas Cardiac Arrhythmia Institute, St David's Medical Center, Austin, TX 78705, USA.

Keywords

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